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author | Aaron LI <aly@aaronly.me> | 2018-07-23 14:30:20 +0800 |
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committer | Aaron LI <aly@aaronly.me> | 2018-07-23 14:30:20 +0800 |
commit | df2e8b2f269acdce0de8cf2c2f1f13e33b0310c5 (patch) | |
tree | 9387cfd06c74db95546a5e6a4a83113e772b4940 | |
parent | 4de81c2f42039234ea7ca7ac1a335e5695502886 (diff) | |
download | atoolbox-df2e8b2f269acdce0de8cf2c2f1f13e33b0310c5.tar.bz2 |
Add astro/spectrogram.py: Calculate DCT/FFT along the frequency axis
-rwxr-xr-x | astro/spectrogram.py | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/astro/spectrogram.py b/astro/spectrogram.py new file mode 100755 index 0000000..b1fcfe9 --- /dev/null +++ b/astro/spectrogram.py @@ -0,0 +1,124 @@ +#!/usr/bin/env python3 +# +# Copyright (c) 2018 Aaron LI <aly@aaronly.me> +# MIT license +# + +""" +Calculate the spectrograms of the FITS cube. + +If the discrete Fourier transform (DFT/FFT) performed, output the real, +imaginary, and magnitude spectrograms. If the discrete cosine transform +(DCT) performed, then output only the magnitude spectrogram since it's +real numbered. + +The transform is applied along the frequency axis, while the two spatial +dimensions are flattened. +""" + +import sys +import argparse +import logging + +import numpy as np +from scipy import signal +from scipy import fftpack +from astropy.io import fits + + +logging.basicConfig(level=logging.INFO, + format="[%(levelname)s:%(lineno)d] %(message)s") +logger = logging.getLogger() + + +class Spectrogram: + def __init__(self, cube): + cube = np.array(cube, dtype=float) # [Freq, Y, X] + nfreq, ny, nx = cube.shape + self.data = cube.reshape((nfreq, ny*nx)) + logger.info('Cube: %d frequencies, %d pixels' % self.data.shape) + + @property + def nfreq(self): + return self.data.shape[0] + + @property + def npix(self): + return self.data.shape[1] + + def set_window(self, window): + if window.upper() == 'NONE': + return + logger.info('Generating %s window ...' % window) + wfunc = getattr(signal.windows, window) + w = wfunc(self.nfreq, sym=False) + logger.info('Applying window ...') + self.data *= w[:, np.newaxis] + + def calc_cosine(self): + logger.info('Calculating DCT ...') + return fftpack.dct(self.data, axis=0, norm='ortho') + + def calc_fourier(self): + logger.info('Calculating FFT ...') + z = fftpack.fftshift(fftpack.fft(self.data, axis=0), axis=0) + return (np.abs(z), np.real(z), np.imag(z)) + + +def main(): + parser = argparse.ArgumentParser( + description='Calculate spectrogram of an image cube') + parser.add_argument('-C', '--clobber', action='store_true') + parser.add_argument('-w', '--window', required=True, + choices=['none', 'nuttall', 'hanning'], + help='window function') + parser.add_argument('-t', '--type', required=True, + choices=['cosine', 'fourier'], + help='spectrogram type') + parser.add_argument('-i', '--infile', required=True, + help='input image cube') + parser.add_argument('-M', '--out-mag', dest='outmag', required=True, + help='output magnitude spectrogram') + parser.add_argument('-R', '--out-real', dest='outreal', + help='output real spectrogram (type "fourier")') + parser.add_argument('-I', '--out-imag', dest='outimag', + help='output imaginary spectrogram (type "fourier")') + args = parser.parse_args() + + if args.type == 'fourier': + assert (args.outreal and args.outimag), '--real and --imag required' + + cube = fits.open(args.infile)[0].data + logger.info("Cube shape: %dx%dx%d" % cube.shape) + + header = fits.Header() + header.add_history(' '.join(sys.argv)) + header['SP_TYPE'] = args.type + + spectrogram = Spectrogram(cube) + spectrogram.set_window(args.window) + + if args.type == 'cosine': + sp_mag = spectrogram.calc_cosine() + header['SP_DATA'] = 'magnitude' + fits.PrimaryHDU(data=sp_mag, header=header).writeto( + args.outmag, overwrite=args.clobber) + logger.info('Wrote magnitude spectrogram to: %s' % args.outmag) + else: + sp_mag, sp_real, sp_imag = spectrogram.calc_fourier() + header['SP_DATA'] = 'magnitude' + fits.PrimaryHDU(data=sp_mag, header=header).writeto( + args.outmag, overwrite=args.clobber) + logger.info('Wrote magnitude spectrogram to: %s' % args.outmag) + header['SP_DATA'] = 'real' + fits.PrimaryHDU(data=sp_real, header=header).writeto( + args.outreal, overwrite=args.clobber) + logger.info('Wrote real spectrogram to: %s' % args.outreal) + header['SP_DATA'] = 'imaginary' + fits.PrimaryHDU(data=sp_imag, header=header).writeto( + args.outimag, overwrite=args.clobber) + logger.info('Wrote imaginary spectrogram to: %s' % args.outimag) + + +if __name__ == '__main__': + main() |